摘要
快速有效的电厂负荷分配能够有效增强电厂灵活运行能力,从而提升效益,增强市场竞争力。因此,针对负荷分配中快速性问题,在电厂负荷分配目标函数、约束条件基础上,设计了快速变负荷策略,以满足电厂灵活性调节目的。利用改进磷虾群算法(IKH),通过自适应动态改变负荷边界,实现对负荷变化的快速响应,并进行了4个机组的算例分析,由IKH、GA和PSO仿真结果对比验证了IKH算法的有效性。
Fast and effective power plant load distribution can effectively enhance the power plant's flexible operation capability,thereby improving efficiency and enhancing market competitiveness.Therefore,in view of the rapidity of load distribution,based on the power plant load distribution objective function and constraint conditions,a rapid load change strategy is designed to meet the power plant's flexibility adjustment purpose.The improved krill swarm algorithm(IKH)is used to dynamically change the load boundary through self-adaptation to achieve rapid response to load changes.Finally,a calculation example analysis of 4 units is carried out,and the comparison of IKH,GA and PSO simulation results verifies the effectiveness of the IKH algorithm.
作者
杨如意
Yang Ruyi(Guodian Inner Mongolia Dongsheng Thermal Power Co.,Ltd.,Inner Mongolia Autonomous Region,Ordos,017000,China)
出处
《仪器仪表用户》
2021年第6期96-100,共5页
Instrumentation
关键词
负荷优化分配
磷虾群算法
超参数优化
种群信息交流
快速调节
灵活性
load optimal distribution
krill swarm algorithm
hyperparameter optimization
population information exchange
rapid adjustment
flexibility
